Lazynext MCP Server
Provides text-to-speech voice generation for AI-powered audio creation.
Enables AI chat and editing assistance using OpenAI's language models.
Allows searching and importing stock photos and videos from Pexels.
Allows searching and importing stock photos, videos, and music from Pixabay.
Allows searching and importing high-quality stock photos from Unsplash.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Lazynext MCP Serverlist my video projects"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Lazynext Operating System
Lazynext is a unified operating system for individuals, professionals, teams, and organizations — providing identity, workspaces, projects, tasks, documents, files, automations, AI agents, integrations, analytics, search, a developer API, an MCP server, and a Creative Studio module for AI ad generation powered by Atlas Cloud.
One environment for your entire workflow. Identity is unified, data is unified, permissions are unified, and every module shares the same platform core.
What Lazynext is
Lazynext is a platform OS with a global shell and a set of modules that run inside it. Each module is a first-class application with its own navigation, data, and actions, but all modules share the OS shell, identity layer, permission system, workspace context, search, command palette, and design system.
Platform modules
Module | Purpose |
Dashboard | Workspace overview: activity, recent objects, pinned items, system status |
Creative Studio | AI ad generation: UGC ads, reference remakes, drama ads, ad skits, 150+ creative tools |
Projects | Project management with tasks, documents, files, and conversations |
Tasks | Task management within projects and standalone; kanban/list views |
Documents | Rich-text documents and knowledge base |
Files | File/asset management with R2 storage, sharing, and versioning |
Automations | Workflow builder with triggers, conditions, and scheduled jobs |
AI Agents | Agent definitions, tool calling, runs, and memory |
Integrations | OAuth connections, API credentials, webhook endpoints, integration catalog |
Calendar | Unified calendar across projects, scheduled posts, and automations |
People | Contacts, team members, organization members, and presence |
Conversations | Threaded discussions across modules |
Analytics | Cross-module analytics dashboards, usage, performance, and audit |
Search | Global search across all objects (authorization-filtered) |
Settings | User preferences, workspace settings, org settings, billing, security, privacy |
Admin | User/org/workspace administration, roles, permissions, audit logs, system health |
Developer Platform | API keys, REST API v1, MCP endpoint, webhooks, usage metrics |
Legal | Terms, privacy, cookie policy, AUP, AI policy, DPA, subprocessors, data rights |
Platform primitives
All modules build on shared domain concepts: User, Identity, Session, Organization, Workspace, Team, Membership, Role, Permission, Project, Task, Document, File, Asset, Conversation, Integration, Automation, Agent, Tool, ApiCredential, WebhookEndpoint, Event, Notification, AuditEvent, Subscription, Invoice, UsageRecord, and ScheduledJob.
Creative Studio
The Creative Studio module preserves the original ad-creative product value within the OS framework. It includes:
UGC Product Ad — Product + presenter photos → lip-synced UGC ad
Reference to Ad — Upload a viral ad → remake it with your product
AI Drama Ad — One topic → comedy script → shot-by-shot drama ad
Ad Skit — One-line product → two-person comedy skit
150+ creative tools — Hook generators, brand voice analyzers, A/B testing, performance forecasting, competitor intelligence, compliance checking, and more
All workflows auto-detect input language and support 13 locales.
Related MCP server: Omni-Video Studio MCP
Who it is for
Professionals and teams who want a unified workspace instead of fragmented tools
Organizations that need shared identity, permissions, and data across modules
E-commerce teams and agencies that need AI ad creative production within a broader platform
Developers who want a public API and MCP server for programmatic access
Businesses that need audit trails, compliance, and enterprise-grade security
Quick start
git clone https://github.com/Lazynext-Platform/lazynext.git
cd lazynext
npm installFor local development:
cp .env.example .env.local
# Fill auth, Atlas Cloud, Dodo Payments, and Resend values.
npm run dev # starts on port 3100For Cloudflare/OpenNext preview:
cp .dev.vars.example .dev.vars
npm run cf:previewCore application variables:
ATLASCLOUD_API_KEY=
NEXTAUTH_SECRET=
NEXTAUTH_URL=http://localhost:3100
AUTH_URL=http://localhost:3100
GOOGLE_CLIENT_ID=
GOOGLE_CLIENT_SECRET=
ADMIN_EMAILS=support@lazynext.comPlatform resources:
Platform | Database | Media storage |
Cloudflare | D1 binding | R2 binding |
Where to get each value:
Variable | Where to get it | Notes |
| Create an Atlas Cloud API key for image, video, LLM, TTS, and lip-sync generation. | |
| Generate locally with | |
| Create a Web application OAuth client for Google sign-in. | |
| Copy the client secret from the same Web application OAuth client. | |
| Required when | |
| Required for Dodo webhook verification. | |
| API key for transactional email delivery. | |
| Resend Dashboard | Verified sender address (e.g. |
| — | Comma-separated admin email addresses. Production: |
| — | AES-256-GCM key for OAuth token encryption at rest. |
| — | Secret for authenticated cron invocations. |
Open http://localhost:3100.
Mock Atlas Cloud API (for local testing)
npm run mock-atlas # starts on port 3099The mock server returns realistic LLM responses, simulates generation task lifecycle, and serves placeholder media — without consuming real credits or making external API calls.
Deploy
Lazynext deploys exclusively to Cloudflare Workers using OpenNext.
npm run cf:deployCloudflare uses the DB D1 binding and MEDIA_BUCKET R2 binding in wrangler.jsonc. The deployment includes a custom domain route for lazynext.com.
Set application secrets with Wrangler or the dashboard:
wrangler secret put ATLASCLOUD_API_KEY
wrangler secret put NEXTAUTH_SECRET
wrangler secret put GOOGLE_CLIENT_ID
wrangler secret put GOOGLE_CLIENT_SECRET
wrangler secret put TOKEN_ENCRYPTION_KEY
wrangler secret put CRON_SECRETSee DEPLOYMENT.md for resource creation, database initialization, and verification commands.
Developer Platform
Public REST API (v1)
Lazynext exposes a versioned REST API at /api/v1/ with API key authentication, scopes, and rate limits. Endpoints cover workspaces, projects, tasks, and documents.
API key management at
/settings→ DeveloperOpenAPI-style documentation at
/developersRate limits: 60 req/min (standard), 10 req/min (AI endpoints)
MCP Server
Lazynext includes a production-ready MCP (Model Context Protocol) server at /api/mcp implementing the 2026-07-28 protocol specification:
Stateless core (no initialize/handshake)
Streamable HTTP transport
OAuth 2.1 protected-resource metadata
Tools:
list_workspaces,get_workspace,list_projects,create_task,list_tasks,search, and moreEvery tool requires authentication and workspace scoping
MCP metadata at
/.well-known/oauth-protected-resource
Credits and pricing
Users spend in-app credits while the deployment pays Atlas Cloud in USD. Credit packs are available at $9/$39/$99 with ~30 display currencies.
src/lib/video-pricing.ts calculates video credits:
credits = ceil(perSecond[resolution] * seconds * ACCOUNT_MARKUP * MARGIN / CREDIT_USD)Top-up packs live in src/config/pricing.ts.
Testing
npm test # 6817+ unit tests
npm run test:e2e # 1000+ E2E tests (Playwright)
npm run lint # ESLint (0 errors)
npm run build # Production buildTechnical architecture
lazynext/
├── src/
│ ├── app/ # Next.js 16 App Router
│ │ ├── (OS modules)/ # dashboard, projects, tasks, documents, files, etc.
│ │ ├── creative/ # Creative Studio module
│ │ ├── api/v1/ # Public REST API
│ │ ├── api/mcp/ # MCP server (2026-07-28)
│ │ └── api/ # Internal API routes
│ ├── components/ # Reusable UI components
│ ├── config/ # Navigation, pricing, app catalog
│ ├── i18n/ # 13 locales with dynamic loading
│ └── lib/ # Domain services, security, providers
├── prisma/schema.prisma # 37 models, D1/SQLite
├── e2e/ # Playwright E2E tests
├── test/ # Unit tests
├── docs/adr/ # 218 Architecture Decision Records
├── research/ Discovery + architecture reports
├── auth.ts NextAuth v5 config
├── open-next.config.ts OpenNext build target
└── wrangler.jsonc Cloudflare deployment configStack
Layer | Technology |
Framework | Next.js 16 (App Router, webpack) |
UI | React 19 + Tailwind CSS 4 |
Language | TypeScript 6 |
Auth | NextAuth v5 (JWT, Google + Credentials) |
ORM | Prisma 7 (D1 driver adapter) |
Database | Cloudflare D1 (prod) / better-sqlite3 (local) |
Storage | Cloudflare R2 (prod) / filesystem (local) |
Deployment | Cloudflare Workers via OpenNext |
AI provider | Atlas Cloud API |
Payments | Dodo Payments |
Resend | |
E2E | Playwright |
Design | Neo-Brutalist design system (light/dark/system themes) |
License
MIT. See LICENSE. AI generation powered by Atlas Cloud.
Lazynext is a Lazynext-branded distribution built on the open-source Atlas Marketing Studio project (MIT). All AI generation runs through the Atlas Cloud API.
Tool Schema Changelog
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